Business Problem:
While AI Agents can already perform direct actions such as updating contact fields or assigning conversations, they are not designed to reliably enforce step-by-step, sequential processes. Workflows, on the other hand, excel in scenarios where operations must follow a strict order.
Without this capability, users who need both flexibility (from AI) and structure (from workflows) are forced to duplicate logic. This creates friction and reduces efficiency since many businesses prefer workflows for tasks that require predictability, guardrails, and consistency.
Desired Outcome:
Enable AI Agents to trigger workflows as part of their action. This would allow users to:
  • Combine natural language flexibility of AI Agents with the structured automation of workflows.
  • Reduce onboarding complexity by letting AI Agents connect with existing workflow setups (many customers already have workflows built).